Browse › Computer Vision › Person Re-Identification › DukeMTMC-reID
DukeMTMC-reID Benchmark (Person Re-Identification)
Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.
The archive carries no text for this table; the description above is the archive's text for the task Person Re-Identification. archive 2025-07-28
Over time archive 2025-07-28
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Direction inferred from the metric name, not from the archive: mAP (higher is better). Not inferred (points only, no best-so-far line): Rank-1, Rank-5, Rank-10, Rank-1, Rank-5. Points are placed at the row's paper date; 94 of 94 rows carry one.
Results archive 2025-07-28
Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.
| Paper | Code | Ran Syntology | Report | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | DenseIL | 97.1 | – | Paper | – | 2021 | no code linked | report | |||||
| 2 | CTL Model (ResNet50, 256x128) | 96.1 | 95.6 | 96.2 | 97.9 | – | Paper | Code | 2021 | linked, not harvested | report | ||
| 3 | BPBreID (RK) | 92.9 | 93.9 | – | Paper | Code | 2022 | linked, not harvested | report | ||||
| 4 | Unsupervised Pre-training (ResNet101+RK) | 92.77 | 93.99 | ✓ | Paper | Code | 2020 | linked, not harvested | report | ||||
| 5 | st-ReID(RE, RK,Cam) | 92.7 | 94.5 | – | Paper | Code | 2018 | 2 of 10 ran · 8 unverified | report | ||||
| 6 | RGT&RGPR (RK) | 92.7 | 94.3 | ✓ | Paper | Code | 2021 | linked, not harvested | report | ||||
| 7 | Viewpoint-Aware Loss(RK) | 91.8 | 93.9 | 96.5 | ✓ | Paper | Code | 2019 | linked, not harvested | report | |||
| 8 | LDS (ResNet50 + RK) | 91.0 | 92.91 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 9 | FlipReID (with re-ranking) | 90.7 | 93.0 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 10 | Adaptive L2 Regularization (with re-ranking) | 90.7 | 92.2 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 11 | DAAF-BoT(RK) | 89.6 | 91.7 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 12 | RPTM | 89.2 | 93.5 | 96.1 | – | Paper | Code | 2021 | linked, not harvested | report | |||
| 13 | Auto-ReID(RK) | 89.2 | 91.4 | – | Paper | Code | 2019 | linked, not harvested | report | ||||
| 14 | BoT Baseline(RK) | 89.1 | 90.2 | – | Paper | Code | 2019 | 4 of 8 ran · 4 unverified | report | ||||
| 15 | st-ReID+InSTD | 89.1 | – | Paper | Code | 2021 | linked, not harvested | report | |||||
| 16 | Top-DB-Net + RK | 88.6 | 90.9 | – | Paper | Code | 2020 | 0 of 15 ran · 15 unverified | report | ||||
| 17 | DG-Net(RK) | 88.31 | 90.26 | – | Paper | Code | 2019 | 11 of 19 ran · 8 unverified | report | ||||
| 18 | PyrNet (+ReRank) | 87.7 | 90.3 | – | Paper | Code | 2019 | linked, not harvested | report | ||||
| 19 | Deep Constrained Dominant Sets | 86.1 | 88.5 | – | Paper | Code | 2019 | 1 of 6 ran · 5 unverified | report | ||||
| 20 | Parameter-Free Spatial Attention | 85.9 | 89.0 | – | Paper | Code | 2018 | linked, not harvested | report | ||||
| 21 | DiP (without RK) | 85.2 | 91.7 | – | Paper | Code | 2022 | linked, not harvested | report | ||||
| 22 | CLIP-ReID Baseline+UFFM+AMC | 85.0 | 91.3 | – | Paper | Code | 2024 | linked, not harvested | report | ||||
| 23 | Weakly Supervised Pre-training (ResNet50+MGN) | 84.3 | 92.0 | – | Paper | Code | 2022 | 5 of 5 ran · 0 unverified | report | ||||
| 24 | BPBreID | 84.2 | 92.4 | – | Paper | Code | 2022 | linked, not harvested | report | ||||
| 25 | Unsupervised Pre-training (ResNet101+MGN) | 84.1 | 91.9 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 26 | SSP-ReID (RR) | 83.7 | 86.4 | – | Paper | Code | 2018 | linked, not harvested | report | ||||
| 27 | MBNET | 83.58 | 94.39 | 96.45 | 96.90 | 94.39 | 96.45 | – | Paper | Code | 2023 | linked, not harvested | report |
| 28 | CLIP-ReID (without re-ranking) | 83.1 | 90.8 | – | Paper | Code | 2022 | linked, not harvested | report | ||||
| 29 | FPB | 82.9 | 91.2 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 30 | TAT | 82.5 | 91.5 | – | Paper | Code | 2022 | linked, not harvested | report | ||||
| 31 | TransReID (w/o RK) | 82.1 | 91.1 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 32 | MPN (without re-ranking) | 82 | 91.5 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 33 | Cluster-level Alignment (Resnet50 w/o RK) | 81.84 | 91.11 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 34 | Deep Miner (w/o ReRank) | 81.80 | 91.20 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 35 | PLIP-RN50-MGN | 81.7 | – | Paper | Code | 2023 | 0 of 9 ran · 9 unverified | report | |||||
| 36 | FlipReID (without re-ranking) | 81.5 | 90.9 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 37 | APNet-C | 81.5 | 90.4 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 38 | CACENET (ResNet50 w/o RK) | 81.29 | 90.89 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 39 | PLR-OSNet | 81.2 | 91.6 | – | Paper | Code | 2020 | 0 of 1 ran · 1 unverified | report | ||||
| 40 | Adaptive L2 Regularization (without re-ranking) | 81.0 | 90.2 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 41 | CAL | 80.5 | 90 | – | Paper | Code | 2021 | 8 of 11 ran · 3 unverified | report | ||||
| 42 | Compact-ReID (6.4M w/o RK) | 80.3 | 89.8 | – | Paper | – | 2019 | no code linked | report | ||||
| 43 | ISP | 80 | 89.6 | 95.5 | – | Paper | Code | 2020 | 2 of 7 ran · 5 unverified | report | |||
| 44 | DaRe(De)+RE+RR [wang2018resource] | 80.0 | 84.4 | – | Paper | Code | 2018 | 1 of 18 ran · 17 unverified | report | ||||
| 45 | ReMix | 79.8 | 89.6 | ✓ | Paper | – | 2024 | no code linked | report | ||||
| 46 | PSE+ ECN (rank-dist) | 79.8 | 85.2 | – | Paper | Code | 2017 | 1 of 3 ran · 2 unverified | report | ||||
| 47 | IS-GAN | 79.5 | 90.0 | – | Paper | Code | 2019 | linked, not harvested | report | ||||
| 48 | + Re-weighting | 79.1 | 90.2 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 49 | ReID strong baseline (IBN-Net50-a) | 79.1 | 90.1 | – | Paper | Code | 2019 | linked, not harvested | report | ||||
| 50 | Pyramid (CVPR'19) | 79.0 | 89.0 | – | Paper | Code | 2018 | linked, not harvested | report | ||||
| 51 | Compact-ReID (2.9M w/o RK) | 78.9 | 88.8 | – | Paper | – | 2019 | no code linked | report | ||||
| 52 | GPS (without re-ranking) | 78.7 | 88.2 | 95.2 | 96.7 | – | Paper | Code | 2021 | 5 of 10 ran · 5 unverified | report | ||
| 53 | ABD-Net (ResNet-50) | 78.59 | 89.0 | – | Paper | Code | 2019 | 2 of 9 ran · 7 unverified | report | ||||
| 54 | MGN | 78.4 | 88.7 | – | Paper | Code | 2018 | 3 of 30 ran · 27 unverified | report | ||||
| 55 | DAAF-BoT | 77.9 | 87.9 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 56 | CAP | 76 | 87.7 | 93.7 | 95.4 | – | Paper | Code | 2020 | linked, not harvested | report | ||
| 57 | DG-Net | 74.8 | 86.6 | – | Paper | Code | 2019 | 11 of 19 ran · 8 unverified | report | ||||
| 58 | Bias-controlled Adversarial Training | 74.8 | 85.2 | – | Paper | – | 2019 | no code linked | report | ||||
| 59 | HPM | 74.3 | 86.6 | – | Paper | Code | 2018 | linked, not harvested | report | ||||
| 60 | PyrNet | 74.0 | 87.1 | – | Paper | Code | 2019 | linked, not harvested | report | ||||
| 61 | OSNet (ICCV'19) | 73.5 | 88.6 | – | Paper | Code | 2019 | 9 of 26 ran · 17 unverified | report | ||||
| 62 | Top-DB-Net | 73.5 | 87.5 | – | Paper | Code | 2020 | 0 of 15 ran · 15 unverified | report | ||||
| 63 | P2-Net (triplet loss) | 73.1 | 86.5 | 93.1 | 95 | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 64 | CBN+BoT* | 70.1 | 84.8 | 92.5 | 95.2 | – | Paper | Code | 2020 | linked, not harvested | report | ||
| 65 | PCB (RPP) | 69.2 | 83.3 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 66 | SSP-ReID | 68.6 | 81.8 | – | Paper | Code | 2018 | linked, not harvested | report | ||||
| 67 | Proposed SGGNN | 68.2 | – | Paper | – | 2018 | no code linked | report | |||||
| 68 | CBN | 67.3 | 82.5 | 91.7 | 94.1 | – | Paper | Code | 2020 | linked, not harvested | report | ||
| 69 | PAN + re-rank | 66.74 | 75.94 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 70 | PCB (UP) | 66.1 | 81.8 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 71 | FD-GAN | 64.5 | 80.0 | – | Paper | Code | 2018 | linked, not harvested | report | ||||
| 72 | SVDNet + Random Erasing | 62.4 | 79.3 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 73 | Incremental Learning | 60.2 | 80.0 | – | Paper | Code | 2018 | linked, not harvested | report | ||||
| 74 | OGNet | 57.89 | 76.66 | – | Paper | Code | 2020 | linked, not harvested | report | ||||
| 75 | IDE* + CamStyle + Random Erasing | 57.61 | 78.32 | – | Paper | Code | 2017 | 0 of 3 ran · 3 unverified | report | ||||
| 76 | SVDNet | 56.8 | 76.7 | – | Paper | – | 2017 | no code linked | report | ||||
| 77 | TriNet + Random Erasing | 56.6 | 73.0 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 78 | TriNet | 53.50 | 72.44 | – | Paper | Code | 2017 | 9 of 46 ran · 37 unverified | report | ||||
| 79 | APR | 51.88 | 70.69 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 80 | IDE* | 51.83 | 72.31 | – | Paper | Code | 2017 | 0 of 3 ran · 3 unverified | report | ||||
| 81 | PAN | 51.51 | 71.59 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 82 | DLCE | 49.3 | 68.9 | – | Paper | Code | 2016 | linked, not harvested | report | ||||
| 83 | ShuffleNetV2 [zhang2018shufflenet] | 48.09 | – | Paper | Code | 2017 | linked, not harvested | report | |||||
| 84 | MAR | 48 | 79.8 | – | Paper | Code | 2019 | linked, not harvested | report | ||||
| 85 | OIM | 47.4 | 68.1 | – | Paper | Code | 2016 | linked, not harvested | report | ||||
| 86 | GAN | 47.13 | 67.68 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 87 | IDE | 44.99 | 65.22 | – | Paper | – | 2016 | no code linked | report | ||||
| 88 | UTAL | 44.6 | 62.3 | – | Paper | Code | 2019 | linked, not harvested | report | ||||
| 89 | PointNet++ (MSG) [qi2017pointnet++] | 39.36 | 60.23 | – | Paper | Code | 2017 | 36 of 67 ran · 31 unverified | report | ||||
| 90 | Dispersion based Clustering | 30 | 51.5 | 64.6 | 70.1 | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 91 | SPGAN+LMP* | 26.2 | 46.4 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 92 | LOMO + XQDA | 17.04 | 30.75 | – | Paper | Code | 2014 | linked, not harvested | report | ||||
| 93 | PUL* | 16.4 | 30.4 | – | Paper | Code | 2017 | linked, not harvested | report | ||||
| 94 | BOW | 12.17 | 25.13 | – | Paper | – | 2015 | no code linked | report |
All 94 rows shown. 94 link to a paper page on this site; 4 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28
Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 22 rows have a graph line, from 19 distinct papers; 16 rows (15 papers) have at least one sample that ran. Counting each paper once: Syntology ran 99 of 303 samples; 204 unverified. Separately, 41 of those 303 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-25. Per-sample status is on the paper page.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections